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2020/2021  BA-BMAKO1041U  Statistics

English Title

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Semester
Start time of the course Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc in Business Administration and Market Dynamics and Cultural Analysis
Course coordinator
  • Jan Michael Bauer - Department of Management, Society and Communication (MSC)
Main academic disciplines
  • Statistics and quantitative methods
Teaching methods
  • Blended learning
Last updated on 11-12-2020

Relevant links

Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • display an understanding of statistical terminology, processes and theories
  • understand simple mathematical notation to read and express statistical problems
  • inspect, manipulate and analyze data using statistical software
  • independently conduct and justify statistical analyses for given data
  • critically reflect on statistical analyses and communicate their results in clear language
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Please see text below
The number of pages is not relevant
Assignment type Written assignment
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Description of the exam procedure


The exam is online and lasts 4 hours.

Course content, structure and pedagogical approach

This course provides an amicable introduction to the core concepts of statistics. Focusing on understanding and application this course is accessible to students without a strong mathematical background. Starting from the basics of understanding and describing quantitative information and probabilities the course will cover the essential aspects of statistics, such as sampling theory, statistical inference and null-hypothesis testing. Students will learn the use analytical software and acquire the ability to answer quantitative research questions using the appropriate technique. Methods of analysis are oriented towards consumer research and include the study of group differences, relationships and multivariate analysis. Strengthening skills to read, evaluate and communicate the results of statistical analysis will enhance student’s ability to use quantitative data in a meaningful way. Students will become familiar with the use of basic mathematical notations and learn to solve simple problem sets linked to statistical questions.

Description of the teaching methods
The course will combine classical on campus and online lectures with supervised campus and online exercises. Blended learning elements will be used to foster student engagement and provide learning feedback. With its focus on application and basic understanding, methods will be taught hands-on using software in class and exercises. Students will receive an introduction into the use of these tools in dedicated workshop. Participants are expected to actively engage into problem-solving exercises within class and at home, as well as pre-class preparation by reading the respective material. Continuous assessment will support student learning and provide guidance regarding their progress towards mastering the learning objectives.
Feedback during the teaching period
Student receive feedback through exercises and dedicated blended learning elements.
Student workload
Lectures+ Exercise 41 hours
Supervised practical sessions 8 hours
Preparation 150 hours
Exam 4 hours
Expected literature

Statistics: The Art and Science of Learning from Data, Global Edition

by Alan Agresti & Christine A. Franklin & Bernhard Klingenberg

4th Edition, Pearson Education Limited 2018, ISBN: 9781292164779

Last updated on 11-12-2020